Triple

T1582713
Position Surface form Disambiguated ID Type / Status
Subject Johan Nordström E34001 entity
Predicate coFounded P104 FINISHED
Object Nordstrom E1567 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nordstrom | Statement: [Johan Nordström, coFounded, Nordstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordstrom
Context triple: [Johan Nordström, coFounded, Nordstrom]
  • A. Nordstrom chosen
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • B. Macy's
    Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
  • C. Bloomingdale's
    Bloomingdale's is a high-end American department store chain known for its designer fashion, luxury goods, and flagship locations in major cities.
  • D. Lord & Taylor
    Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
  • E. Saks Fifth Avenue
    Saks Fifth Avenue is a luxury American department store chain known for its high-end fashion, accessories, and flagship store on New York City's Fifth Avenue.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908ef80a48190bd5a8e51c65e5588 completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58bec288819082326e9e17ed289d completed March 8, 2026, 11:08 a.m.
Created at: March 4, 2026, 7:27 p.m.